\Header{LifeCycleSavings}{Intercountry Life-Cycle Savings Data}
\keyword{datasets}{LifeCycleSavings}
\begin{Description}\relax
Data on the savings ratio 1960--1970.\end{Description}
\begin{Usage}
\begin{verbatim}data(LifeCycleSavings)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 50 observations on 5 variables.
\Tabular{rlll}{
[,1]  & sr    & numeric  & aggregate personal savings \\{}
[,2]  & pop15 & numeric  & \% of population under 15 \\{}
[,3]  & pop75 & numeric  & \% of population over 75 \\{}
[,4]  & dpi   & numeric  & real per-capita disposable
income \\{}
[,5]  & ddpi  & numeric  & \% growth rate of dpi
}\end{Format}
\begin{Details}\relax
Under the life-cycle savings hypothesis as developed by Franco
Modigliani, the savings ratio (aggregate personal saving divided by
disposable income) is explained by per-capita disposable income, the
percentage rate of change in per-capita disposable income, and two
demographic variables: the percentage of population less than 15
years old and the percentage of the population over 75 years old.
The data are averaged over the decade 1960--1970 to remove the
business cycle or other short-term fluctuations.\end{Details}
\begin{Source}\relax
The data were obtained from Belsley, Kuh and Welsch (1980).
They in turn obtained the data from Sterling (1977).\end{Source}
\begin{References}\relax
Sterling, Arnie (1977) Unpublished BS Thesis.
Massachusetts Institute of Technology.

Belsley, D. A., Kuh. E. and Welsch, R. E. (1980)
\emph{Regression Diagnostics}.
New York: Wiley.\end{References}
\begin{Examples}
\begin{ExampleCode}
data(LifeCycleSavings)
pairs(LifeCycleSavings, panel = panel.smooth,
      main = "LifeCycleSavings data")
fm1 <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings)
summary(fm1)
\end{ExampleCode}
\end{Examples}

